Build an ATS Resume Analyzer with Python, Streamlit & OpenAI

About this course

Build a Real-World AI Resume Analyzer with Python & Streamlit

Landing interviews often depends on how well your resume matches a job description and passes through Applicant Tracking Systems (ATS). In this hands-on project-based course, you'll build your own AI Resume Analyzer and ATS-style Resume Scanner that helps analyze resumes, compare them with job descriptions, calculate match scores, identify missing skills, and generate AI-powered improvement suggestions.

Instead of building isolated code examples or toy AI demos, you'll create a complete end-to-end application using Python, Streamlit, PDF processing, and OpenAI APIs while learning the engineering principles behind real AI-powered software.

Throughout the course, you'll progressively build a professional application that can:

• Upload and extract text from PDF resumes
• Clean and preprocess resume and job description text
• Compare resumes against job descriptions
• Calculate ATS-style resume match scores
• Identify matched and missing keywords
• Generate AI-powered resume improvement suggestions
• Display results in a clean, interactive Streamlit dashboard

More importantly, you'll learn why each part of the system is designed the way it is. Rather than simply writing code, you'll understand the reasoning behind project structure, prompt design, scoring logic, and user experience decisions.

What You'll Learn

Build a production-style Python project using uvDevelop interactive web applications with Streamlit

Extract and process text from PDF resumes

Implement ATS-style keyword matching and resume scoring

Integrate OpenAI APIs to generate intelligent resume suggestions

Write better prompts for more re

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